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Questions › IIT JAM › IIT JAM 2021 › Q57
2 marksStatistics › Random variables and standard distributions › The normal distributionHardabout 3 min

IIT JAM 2021 Question 57: Random variables and standard distributions

Let X1,X2,X3,X4X_1, X_2, X_3, X_4X1​,X2​,X3​,X4​ be independent standard normal variables and Y=(X1+X2)2+(X3+X4)2Y = (X_1 + X_2)^2 + (X_3 + X_4)^2Y=(X1​+X2​)2+(X3​+X4​)2. The variance of YYY equals _______ (in integer).

Answer and worked solution

Answer: 16

X1+X2∼N(0,2)X_1 + X_2 \sim N(0, 2)X1​+X2​∼N(0,2), so (X1+X2)2=2χ12(X_1 + X_2)^2 = 2\chi^2_1(X1​+X2​)2=2χ12​ with variance 4⋅2=84 \cdot 2 = 84⋅2=8; the same holds for (X3+X4)2(X_3 + X_4)^2(X3​+X4​)2.

The two squared terms are independent, so Var(Y)=8+8=16\text{Var}(Y) = 8 + 8 = 16Var(Y)=8+8=16. The answer is 161616.

Plain-text version

Let X₁, X₂, X₃, X₄ be independent standard normal variables and Y = (X₁ + X₂)² + (X₃ + X₄)². The variance of Y equals _ (in integer).

Also written as: Let X_1, X_2, X_3, X_4 be independent standard normal variables and Y = (X_1 + X_2)^2 + (X_3 + X_4)^2. The variance of Y equals _ (in integer).

Random variables and standard distributions has come up 173 times in 7 exams since 2005.

What this question tests

This question is on The normal distribution, part of Random variables and standard distributions in Statistics.

The bell curve: standardising, tail probabilities and approximations.

TestStop has 20 past-paper questions on this subtopic; the nearest in year are below.

  • IIT JAM 2022 · Q31Let X ~ N(μ_X, σ_X²) and Y ~ N(μ_Y, σ_Y²). Which of the following is/are NOT correct?
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